Abstract:
:Normalization is critical for removing systematic variation from microarray data. For two-color microarray platforms, intensity-dependent lowess normalization is commonly used to correct relative gene expression values for biases. Here we outline a normalization method for use when the assumptions of lowess normalization fail. Specifically, this can occur when specialized boutique arrays are constructed that contain a subset of genes selected to test particular biological functions.
journal_name
Genome Bioljournal_title
Genome biologyauthors
Oshlack A,Emslie D,Corcoran LM,Smyth GKdoi
10.1186/gb-2007-8-1-r2subject
Has Abstractpub_date
2007-01-01 00:00:00pages
R2issue
1eissn
1474-7596issn
1474-760Xpii
gb-2007-8-1-r2journal_volume
8pub_type
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